app.py

import os
from flask import Flask, request, jsonify
from flask_cors import CORS

# This is done in the Dockerfile now, but leaving for local dev consistency
os.environ["XDG_CACHE_HOME"] = os.environ.get("XDG_CACHE_HOME", "/tmp/.cache")

# Import handlers from other server files
from whisper_server import handle_transcribe, model as whisper_model
from qgen_server import handle_generate_questions, qg_model
from qamatcher_server import handle_match_question, matcher_model

app = Flask(__name__)

# Configure CORS to allow all origins
CORS(app, resources={r"/*": {"origins": "*"}})

@app.route('/')
def index():
    return jsonify({
        'message': 'VoiceQ AI Server is running!',
        'models_loaded': {
            'whisper': whisper_model is not None,
            'question-generator': qg_model is not None,
            'question-matcher': matcher_model is not None,
        }
    })

@app.route('/transcribe', methods=['POST'])
def transcribe():
    return handle_transcribe()

@app.route('/generate-questions', methods=['POST'])
def generate_questions():
    return handle_generate_questions()

@app.route('/match-question', methods=['POST'])
def match_question():
    return handle_match_question()

# The following block is for local development only and will not be used in the Docker container.
if __name__ == '__main__':
    PORT = int(os.environ.get("PORT", 5001))
    app.run(host='0.0.0.0', port=PORT, debug=True)